Department of Medicine, Massachusetts General Hospital, Boston, Massachusetts, USA; Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA; Cardiovascular Disease Initiative, Broad Institute, Cambridge, Massachusetts, USA. Electronic address: https://twitter.com/MahanNekoui.
Cardiovascular Research Center, Massachusetts General Hospital, Boston, Massachusetts, USA; Cardiovascular Disease Initiative, Broad Institute, Cambridge, Massachusetts, USA; Division of Cardiology, Massachusetts General Hospital, Boston, Massachusetts, USA. Electronic address: https://twitter.com/jpirruccello.
J Am Coll Cardiol. 2022 Aug 2;80(5):486-497. doi: 10.1016/j.jacc.2022.05.024.
The left ventricular outflow tract (LVOT) and ascending aorta are spatially complex, with distinct pathologies and embryologic origins. Prior work examined the genetics of thoracic aortic diameter in a single plane.
We sought to elucidate the genetic basis for the diameter of the LVOT, aortic root, and ascending aorta.
Using deep learning, we analyzed 2.3 million cardiac magnetic resonance images from 43,317 UK Biobank participants. We computed the diameters of the LVOT, the aortic root, and at 6 locations of ascending aorta. For each diameter, we conducted a genome-wide association study and generated a polygenic score. Finally, we investigated associations between these scores and disease incidence.
A total of 79 loci were significantly associated with at least 1 diameter. Of these, 35 were novel, and most were associated with 1 or 2 diameters. A polygenic score of aortic diameter approximately 13 mm from the sinotubular junction most strongly predicted thoracic aortic aneurysm (n = 427,016; mean HR: 1.42 per SD; 95% CI: 1.34-1.50; P = 6.67 × 10). A polygenic score predicting a smaller aortic root was predictive of aortic stenosis (n = 426,502; mean HR: 1.08 per SD; 95% CI: 1.03-1.12; P = 5 × 10).
We detected distinct genetic loci underpinning the diameters of the LVOT, aortic root, and at several segments of ascending aorta. We spatially defined a region of aorta whose genetics may be most relevant to predicting thoracic aortic aneurysm. We further described a genetic signature that may predispose to aortic stenosis. Understanding genetic contributions to proximal aortic diameter may enable identification of individuals at risk for aortic disease and facilitate prioritization of therapeutic targets.
左心室流出道(LVOT)和升主动脉在空间上较为复杂,具有不同的病理学和胚胎起源。先前的研究仅在单一平面上研究了胸主动脉直径的遗传学。
我们旨在阐明 LVOT、主动脉根部和升主动脉直径的遗传基础。
使用深度学习,我们分析了来自 43317 名英国生物库参与者的 230 万张心脏磁共振图像。我们计算了 LVOT、主动脉根部和升主动脉 6 个部位的直径。对于每个直径,我们进行了全基因组关联研究并生成了多基因评分。最后,我们研究了这些评分与疾病发生率之间的关联。
共有 79 个位点与至少 1 个直径显著相关。其中 35 个是新发现的,大多数与 1 个或 2 个直径相关。主动脉窦管交界处附近直径约为 13mm 的主动脉直径多基因评分最能预测胸主动脉瘤(n=427016;平均 HR:每标准差 1.42;95%CI:1.34-1.50;P=6.67×10)。预测主动脉根部较小的多基因评分可预测主动脉瓣狭窄(n=426502;平均 HR:每标准差 1.08;95%CI:1.03-1.12;P=5×10)。
我们检测到 LVOT、主动脉根部和升主动脉几个节段直径的独特遗传位点。我们从空间上定义了一个主动脉区域,其遗传学可能与预测胸主动脉瘤最相关。我们进一步描述了一个可能导致主动脉瓣狭窄的遗传特征。了解近端主动脉直径的遗传贡献可能使我们能够识别患有主动脉疾病的个体,并有助于确定治疗靶点的优先级。